Protein-Protein Interaction Detection Based on Substring Sensitivity Measure

Nazar Zaki, Safaai Deris, Hany Alashwal, Nazar Mustafa Ahmed

Research output: Contribution to journalArticlepeer-review


Detecting protein-protein interactions is a central problem in computational biology and aberrant such interactions may have implicated in a number of neurological disorders. As a result, the prediction of protein-protein interactions has recently received considerable attention from biologist around the globe. Computational tools that are capable of effectively identifying protein-protein interactions are much needed. In this paper, we propose a method to detect protein-protein interaction based on substring similarity measure. Two protein sequences may interact by the mean of the similarities of the substrings they contain. When applied on the currently available protein-protein interaction data for the yeast Saccharomyces cerevisiae, the proposed method delivered reasonable improvement over the existing ones.
Original languageEnglish
Pages (from-to)740-747
JournalInternational Journal of Biomedical Sciences
Publication statusPublished - 2006


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